Conversational analyticsStay organized with collectionsSave and categorize content based on your preferences.
Conversational analytics in AlloyDB for PostgreSQL lets you chat with agents about
your database data using natural language. To get answers about your data, you
do the following:
Create data agents for a set of knowledge sources—such as tables and views—
that you select.
Optional: create context and instructions for an agent to configure the data
agent to effectively answer questions for specific use cases.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-04-16 UTC."],[],[]]